Le programme dure d’un an (en personne) à deux ans (en ligne). En outre, les personnes qui souhaitent acquérir une expérience professionnelle avant d’obtenir leur diplôme peuvent aussi terminer la MAG en personne en une année et demie et effectuer un stage au cours de cette période.
Ce module est conçu pour développer vos aptitudes à résoudre des problèmes statistiques et vous enseigner les fondements techniques de ce qui suit : analyse de données, analyse de décision, gestion d’équipe et leadership.
Le programme de MAG ne se spécialise dans aucun secteur précis. Cependant, nos cours complémentaires sont conçus pour exposer les étudiants et étudiantes à divers sujets d’analyse comme le marketing, le commerce au détail, la chaîne d’approvisionnement, les soins de santé, la sécurité, la tarification, les talents et les réseaux. Voici des exemples de cours : introduction à l’intelligence artificielle, apprentissage profond, analyses d’entreprises au moyen de l’infonuagique, analyse des médias sociaux, analyse des soins de santé et gestion des revenus.
Cours obligatoires (formule en personne)
Voici les cours obligatoires dans le cadre de la formule en personne.
Tronc commun (toutes les spécialisations)
18 crédits parmi les cours suivants :
INSY 660. Coding Foundations for Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Students will be exposed to a broad set of topics, including fundamentals of computer programming, coding for data acquisition and data manipulation, and specific operational issues related to “big data” analytics. Course material will also cover data privacy, security, and ethical issues.
- **Web ADD only.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed
- **Web withdrawal not applicable.
- **Web ADD only.
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INSY 661. Database and Distributed Systems for Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
This course will present the student with many key concepts relating to database technology, how database technology is being used for managing large datasets,
and the opportunity to put these concepts to practice. This course will cover database management system (DBMS) concepts, database architecture, database
design using entity-relationship (ER) modeling, data storage, file organization, the SQL language, normalization, data integrity, database security, data warehousing, and big data related technologies such as NoSQL, Hadoop, MapReduce, Pic, and Hive.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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INSY 662. Data Mining and Visualization.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
The course will teach practical analytics methods and use R (a tool widely used by data analysts) to provide hands on experience on the data mining techniques covered in the class. The focus of the course is on the application of the tools and techniques rather than learning the theory and math behind the models. This course builds upon concepts of data manipulation and coding seen in
INSY 660 and covers these tools and techniques in much more depth. Students will be exposed to real world datasets and examples to get hands-experience with making business decisions using dating mining and predictive analytics, and provide R
code to apply the predictive models learned in class. At end of this course students will be comfortable using different data mining techniques to solve business problems on their own using R.
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MGSC 660. Mathematical and Statistical Foundations for Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
This course consists of two parts: (i) The first half of the course focuses on probabilistic and statistical foundations of data analytics. At the end of this part, students will have the mathematical knowledge in following topics: probabilities, random variables, the Central Limit Theorem; prior and posterior distributions, and Bayes’ rule; correlation, and Sampling. (ii) The second half of the course focuses on mathematical foundations of decision analytics. At the end of this part, students will have the mathematical knowledge in following topics: linear algebra; calculus of several variables; convexity; separating hyperplanes; unconstrained and constrained optimization; lagrange multipliers.
- **Web ADD only
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only
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MGSC 661. Multivariate Statistical Analysis.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
The course will begin with the standard linear regressions, and extend to multivariable regression models, factor analysis, principal components, selection
models, and dynamic and nonlinear multivariate data methods. Students will be exposed to a broad range of techniques and applications in business analytics through conducting their own statistical analyses.
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MGSC 662. Decision Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
This course teaches quantitative methods used in business decision making. Topics include: optimization models, optimization under uncertainty, and simulation.
Business applications of these techniques are emphasized. Students in this course will acquire expertise in quantitative methods for decision making, through computer analysis of real-life problems.
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3 crédits parmi les cours suivants :
ORGB 660. Managing Data Analytics Teams.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
In this course, students will learn to: understand barriers to effective work in teams or more broadly in organizations; develop a collaboration style and learn
about themselves as team members and leaders – what are their strengths, what can they improve on; learn how to jointly develop a vision and superordinate goal;
develop skills in team communication, using the ‘power of framing’; build effective working relationships with diverse individuals and groups; become familiar with common organizational functional areas, their analytics perspectives, and their role in cross-functional teams.
- **Web ADD only.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only.
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ORGB 661. Ethical Leadership and Leading Change.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Students will learn to: excel in the practice of distributed and shared leadership, critical to contemporary business; develop a collaboration style and learn about themselves as leaders – their strengths, areas for improvement; learn how to jointly develop a vision and superordinate goal; establish guidelines, protocols, and criteria for leading change and for the respectful and ethical collection,
storage, and use of data derived from others; develop their capacity to lead across hierarchical levels, including ‘leading upwards’; understand how leadership is necessary for resolving ‘wicked problems’ (problems that require leadership, not management).
- **Web ADD only.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only.
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Cours complémentaires (formule en personne)
Voici les cours complémentaires dans le cadre de la formule en personne.
Apprentissage par l’expérience
6 crédits parmi les cours suivants :
Les étudiants et étudiantes peuvent choisir BUSA 693 D1 et BUSA 693 D2 ou BUSA 693 N1 et BUSA 693 N2.
Course information not available.
Course information not available.
Course information not available.
Course information not available.
3 crédits parmi les cours suivants :
BUSA 600. Analytics Internship.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
An on-the-job experience in a corporation or organization supervised by an academic faculty member. The learning objectives of this course is to allow the student to put into practice elements that they have learned throughout the program, to gain formal work experience.
- Prerequisite(s): INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661
- Restriction(s): Students must obtain Instructor’s or Academic Director approval in writing before registering to this course.
- Topics of internship work will vary from employer to employer. Students will need to submit a work proposal to the instructor for approval prior to registering for this course.
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BUSA 649. Community Analytics Project.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Analytics project in a small-/medium-sized organization focusing on the application of the concepts of real-world analytics problems that organizations without large
budgets deal with.Analytics project in a small-/medium-sized organization
focusing on the application of the concepts of real-world analytics problems that organizations without large budgets deal with.
- Prerequisites: ORGB 660, INSY 660, MGSC 660, INSY 661, MGSC 661, INSY 662, MGSC 662, ORGB 661.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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Cours au choix (selon la spécialisation)
15 crédits parmi les cours suivants :
BUSA 613. Independent Studies in Analytics 2.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Procuring of real data to perform a data-centric analysis for an organization or research institution. Under the mentorship of the instructor(s), students will focus their project deliverables on all of the following domains: data management, value proposition, analytic formulation, solution development and user application.
- Prerequisite(s): BUSA 693, INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661
- Restriction(s): Students must obtain Instructor’s approval in writing before registering to this course.
- Before the instructor agrees to supervise the student, the student must submit a proposal form for approval.
- Data Handling Agreement/ Non-Disclosure Agreement must be signed by students.
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BUSA 684. Analytics Study Trip.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
The course will be delivered through a combination of site (company) visits, guest lectures of top-level executives, as well as daily student reflections. It may also be combined with an analytics-related conference held in the location of the visit. Students will be required to study such practices in depth, complete a project
related to organizational practice excellence in analytics and write a reflection paper.
- Prerequisite(s): ORGB 660, INSY 660, MGSC 660, INSY 661, MGSC 661, INSY 662, MGSC 662, ORGB 661.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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FINE 675. Financial Valuation Analytics for Startups.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Introduction to finance with an emphasis on analytics, focusing on how the merger of analytics and finance plays a first order role for startups and the decision to
accelerate growth.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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FINE 695. Advanced Topics in Finance Analytics 1.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Advanced topics in finance analytics. Content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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FINE 696. Advanced Topics in Finance Analytics 2.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Advanced topics in finance analytics. Content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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INSY 669. Text Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Introduction to the basics of text mining and text-based predictions, including leading scripts/packages/libraries like SentiStrength (for sentiment analysis), categorization
and classification of a variety of documents. The application of text analytics in solving real-world busines problems.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 670. Social Media Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Methods and tools to leverage the power of social media, with a focus on a variety of
questions ranging from strategic to operational matters pertaining to firms’ social media initiatives, metrics to capture relevant outcomes, and predictive analytics to link social media chatter to business performance.
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 671. Analytics and Open Innovation.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
This course provides a comprehensive introduction to the use of data analytics in the context of open innovation. Students will draw from existing knowledge from prior courses in the Masters program as well as learn new tools and techniques that can be applied to answer realworld questions about open innovation.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 672. Healthcare Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Students will get hands-on experience with real-world datasets to examine how data analytics can be used to predict and understand disease outbreaks, how analytics can be used to improve the operation of hospitals, and the manner in which analytics can be used as decision support for physicians to diagnose and treat patients. By the end of the course, students should be able to develop
an appreciation on the changes that are taking place in the provision of healthcare services due to analytics and the role and opportunities for analytics to reduce cost and improve quality of healthcare in their communities.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 673. Security Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
This course provides a comprehensive introduction to data analytics in the context of information security. Students will understand how to leverage data analytics
to help in visualizing, detecting, and analyzing information security data. Students will be exposed to real-world datasets and tools and techniques that can be applied to analyze those data.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 695. Advanced Topics in Information Systems 1
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Current emerging topics in information systems. Course content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MGPO 695. Advanced Topics in Strategy Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Current topics in strategy analytics. Course content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MGSC 670. Revenue Management.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
This course will introduce students to revenue management (RM) practices in air transportation, hospitality (hotels, cruises, theme parks, casinos), car rental, media, broadcasting, natural-gas storage and transmission, electricity generation and transmission, and show business (concerts, theaters, sport events). Most
applications are recent and made possible by the advances in technology, data and decision analytics. However, there are issues of legality and customer backlash for charging different prices for virtually the same product. The course will touch upon these issues as well. Topics covered include capacity allocation,
network management, overbooking, markdown pricing, and customized pricing.
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MGSC 672. Operations and Supply Chain Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
The course covers analytical models that explore the key issues associated with the design and management of supply chains. A considerable portion of the course is devoted to data-driven decision models that treat uncertainty explicitly. Topics include supply network design, inventory centralization, value of information, and
contracts.
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **During the last week, there will be a make-up class on Thursday, May 28th.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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MGSC 673. Introduction to Artificial Intelligence and Deep Learning.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Introduction to deep learning, through its use of neura networks, to learn from data and tasks such as classification, forecasting, data generation. The basis of
deep learning up to the applications of the most recent research. Use of deep learning in a production environment, and leveraging techniques such as: Keras, hyperparameter tuning, image classification methods, back propagation, LSTMs, and Autoencoders.
- Prerequisite(s): (INSY 660 AND INSY 662) OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MGSC 695. Advanced Topics in Management Science 1
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Current emerging topics in operations management. Course content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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MRKT 671. Advanced Marketing Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
The course will introduce students to advanced marketing analytic techniques available to managers and give them hands-on experience on using these with actual datasets. The major learning vehicle will be lectures with step-by-step exposition of analytical techniques with actual data. These will be then complemented with cases involving data analysis. Topics covered include customer and product analytics techniques.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MRKT 672. Internet Marketing Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
What makes internet marketing different? Introduction to internet marketing - search engine optimization. Inbound marketing - search advertising and privacy concerns. Online tracking and privacy issues.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MRKT 673. Pricing Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Introduction and basics of price-response functions and pricing optimization. Using data to estimate demand models. Value-based pricing, consumer valuations,
personalization. Tactics of price differentiation. Pricing with constrained supply. Team project consultation.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MRKT 674. Retail Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
This course will cover the following topics: loyalty program data analysis, assortment planning and category management, market basket analysis, Store location and trade area analysis, and forecasting and buying decision.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MRKT 696. Advanced Topics in Marketing Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Current emerging topics in marketing analytics. Course content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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ORGB 671. Talent Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Learning objectives: to gain experience in collecting and integrating performance and personnel outcome data; to develop and practice skills needed to analyze these types data; to cultivate knowledge and an understanding of the potential and limitations of talent analytics; to become able to apply the skills and knowledge from class to future organizational settings.
- Prerequisite: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **During the last week, there will be a make-up class on Thursday, May 28th.
- **Web ADD only.
- **No Web Drop.
- *Web withdrawal not applicable.
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ORGB 672. Organizational Network Analysis.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Learning objectives: to gain experience in collecting and representing organizational network data; to develop and practice the skills needed to analyze network data; to cultivate knowledge and understanding of how social networks are related to consequential organizational outcomes; to become able to apply the skills and knowledge from class to future organizational settings.
- Prerequisite: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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ORGB 695. Advanced Topics in Organizational Behaviour.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Current emerging topics in organizational behaviour. Course content will vary each term.
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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Cours obligatoires (formule en ligne)
Voici les cours obligatoires dans le cadre de la formule en ligne.
Tronc commun (toutes les spécialisations)
18 crédits parmi les cours suivants :
Principalement asynchrones avec des tutoriels détaillés
INSY 660. Coding Foundations for Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Students will be exposed to a broad set of topics, including fundamentals of computer programming, coding for data acquisition and data manipulation, and specific operational issues related to “big data” analytics. Course material will also cover data privacy, security, and ethical issues.
- **Web ADD only.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed
- **Web withdrawal not applicable.
- **Web ADD only.
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INSY 661. Database and Distributed Systems for Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
View offerings for
Summer 2025 in Visual Schedule Builder.
Description
This course will present the student with many key concepts relating to database technology, how database technology is being used for managing large datasets,
and the opportunity to put these concepts to practice. This course will cover database management system (DBMS) concepts, database architecture, database
design using entity-relationship (ER) modeling, data storage, file organization, the SQL language, normalization, data integrity, database security, data warehousing, and big data related technologies such as NoSQL, Hadoop, MapReduce, Pic, and Hive.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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INSY 662. Data Mining and Visualization.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
The course will teach practical analytics methods and use R (a tool widely used by data analysts) to provide hands on experience on the data mining techniques covered in the class. The focus of the course is on the application of the tools and techniques rather than learning the theory and math behind the models. This course builds upon concepts of data manipulation and coding seen in
INSY 660 and covers these tools and techniques in much more depth. Students will be exposed to real world datasets and examples to get hands-experience with making business decisions using dating mining and predictive analytics, and provide R
code to apply the predictive models learned in class. At end of this course students will be comfortable using different data mining techniques to solve business problems on their own using R.
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MGSC 660. Mathematical and Statistical Foundations for Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
This course consists of two parts: (i) The first half of the course focuses on probabilistic and statistical foundations of data analytics. At the end of this part, students will have the mathematical knowledge in following topics: probabilities, random variables, the Central Limit Theorem; prior and posterior distributions, and Bayes’ rule; correlation, and Sampling. (ii) The second half of the course focuses on mathematical foundations of decision analytics. At the end of this part, students will have the mathematical knowledge in following topics: linear algebra; calculus of several variables; convexity; separating hyperplanes; unconstrained and constrained optimization; lagrange multipliers.
- **Web ADD only
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only
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MGSC 661. Multivariate Statistical Analysis.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
The course will begin with the standard linear regressions, and extend to multivariable regression models, factor analysis, principal components, selection
models, and dynamic and nonlinear multivariate data methods. Students will be exposed to a broad range of techniques and applications in business analytics through conducting their own statistical analyses.
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MGSC 662. Decision Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
This course teaches quantitative methods used in business decision making. Topics include: optimization models, optimization under uncertainty, and simulation.
Business applications of these techniques are emphasized. Students in this course will acquire expertise in quantitative methods for decision making, through computer analysis of real-life problems.
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3 crédits parmi les cours suivants :
Principalement synchrones avec un accompagnement technique
ORGB 660. Managing Data Analytics Teams.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
View offerings for
Summer 2025 in Visual Schedule Builder.
Description
In this course, students will learn to: understand barriers to effective work in teams or more broadly in organizations; develop a collaboration style and learn
about themselves as team members and leaders – what are their strengths, what can they improve on; learn how to jointly develop a vision and superordinate goal;
develop skills in team communication, using the ‘power of framing’; build effective working relationships with diverse individuals and groups; become familiar with common organizational functional areas, their analytics perspectives, and their role in cross-functional teams.
- **Web ADD only.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only.
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ORGB 661. Ethical Leadership and Leading Change.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Students will learn to: excel in the practice of distributed and shared leadership, critical to contemporary business; develop a collaboration style and learn about themselves as leaders – their strengths, areas for improvement; learn how to jointly develop a vision and superordinate goal; establish guidelines, protocols, and criteria for leading change and for the respectful and ethical collection,
storage, and use of data derived from others; develop their capacity to lead across hierarchical levels, including ‘leading upwards’; understand how leadership is necessary for resolving ‘wicked problems’ (problems that require leadership, not management).
- **Web ADD only.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day
- **No web drop allowed.
- **Web withdrawal not applicable.
- **Web ADD only.
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Cours complémentaires (formule en ligne)
Voici les cours complémentaires dans le cadre de la formule en ligne.
Apprentissage par l’expérience
6 crédits parmi les cours suivants :
Les étudiants et étudiantes peuvent choisir BUSA 693 D1 et BUSA 693 D2 ou BUSA 693 N1 et BUSA 693 N2.
Principalement synchrones avec un accompagnement technique
Course information not available.
Course information not available.
Course information not available.
Course information not available.
3 crédits parmi les cours suivants :
Principalement synchrones avec un accompagnement technique
BUSA 600. Analytics Internship.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
An on-the-job experience in a corporation or organization supervised by an academic faculty member. The learning objectives of this course is to allow the student to put into practice elements that they have learned throughout the program, to gain formal work experience.
- Prerequisite(s): INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661
- Restriction(s): Students must obtain Instructor’s or Academic Director approval in writing before registering to this course.
- Topics of internship work will vary from employer to employer. Students will need to submit a work proposal to the instructor for approval prior to registering for this course.
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BUSA 649. Community Analytics Project.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
View offerings for
Summer 2025 in Visual Schedule Builder.
Description
Analytics project in a small-/medium-sized organization focusing on the application of the concepts of real-world analytics problems that organizations without large
budgets deal with.Analytics project in a small-/medium-sized organization
focusing on the application of the concepts of real-world analytics problems that organizations without large budgets deal with.
- Prerequisites: ORGB 660, INSY 660, MGSC 660, INSY 661, MGSC 661, INSY 662, MGSC 662, ORGB 661.
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the fourth lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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Cours au choix (selon la spécialisation)
15 crédits parmi les cours suivants :
Synchrones et asynchrones
BUSA 613. Independent Studies in Analytics 2.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Procuring of real data to perform a data-centric analysis for an organization or research institution. Under the mentorship of the instructor(s), students will focus their project deliverables on all of the following domains: data management, value proposition, analytic formulation, solution development and user application.
- Prerequisite(s): BUSA 693, INSY 660, INSY 661, INSY 662, MGSC 660, MGSC 661, MGSC 662, ORGB 660, ORGB 661
- Restriction(s): Students must obtain Instructor’s approval in writing before registering to this course.
- Before the instructor agrees to supervise the student, the student must submit a proposal form for approval.
- Data Handling Agreement/ Non-Disclosure Agreement must be signed by students.
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BUSA 684. Analytics Study Trip.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 3
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
The course will be delivered through a combination of site (company) visits, guest lectures of top-level executives, as well as daily student reflections. It may also be combined with an analytics-related conference held in the location of the visit. Students will be required to study such practices in depth, complete a project
related to organizational practice excellence in analytics and write a reflection paper.
- Prerequisite(s): ORGB 660, INSY 660, MGSC 660, INSY 661, MGSC 661, INSY 662, MGSC 662, ORGB 661.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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FINE 675. Financial Valuation Analytics for Startups.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Introduction to finance with an emphasis on analytics, focusing on how the merger of analytics and finance plays a first order role for startups and the decision to
accelerate growth.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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FINE 695. Advanced Topics in Finance Analytics 1.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Advanced topics in finance analytics. Content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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FINE 696. Advanced Topics in Finance Analytics 2.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Advanced topics in finance analytics. Content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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INSY 669. Text Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Introduction to the basics of text mining and text-based predictions, including leading scripts/packages/libraries like SentiStrength (for sentiment analysis), categorization
and classification of a variety of documents. The application of text analytics in solving real-world busines problems.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 670. Social Media Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Methods and tools to leverage the power of social media, with a focus on a variety of
questions ranging from strategic to operational matters pertaining to firms’ social media initiatives, metrics to capture relevant outcomes, and predictive analytics to link social media chatter to business performance.
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 671. Analytics and Open Innovation.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
This course provides a comprehensive introduction to the use of data analytics in the context of open innovation. Students will draw from existing knowledge from prior courses in the Masters program as well as learn new tools and techniques that can be applied to answer realworld questions about open innovation.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 672. Healthcare Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Students will get hands-on experience with real-world datasets to examine how data analytics can be used to predict and understand disease outbreaks, how analytics can be used to improve the operation of hospitals, and the manner in which analytics can be used as decision support for physicians to diagnose and treat patients. By the end of the course, students should be able to develop
an appreciation on the changes that are taking place in the provision of healthcare services due to analytics and the role and opportunities for analytics to reduce cost and improve quality of healthcare in their communities.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 673. Security Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
This course provides a comprehensive introduction to data analytics in the context of information security. Students will understand how to leverage data analytics
to help in visualizing, detecting, and analyzing information security data. Students will be exposed to real-world datasets and tools and techniques that can be applied to analyze those data.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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INSY 695. Advanced Topics in Information Systems 1
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Current emerging topics in information systems. Course content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MGPO 695. Advanced Topics in Strategy Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Current topics in strategy analytics. Course content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MGSC 670. Revenue Management.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
This course will introduce students to revenue management (RM) practices in air transportation, hospitality (hotels, cruises, theme parks, casinos), car rental, media, broadcasting, natural-gas storage and transmission, electricity generation and transmission, and show business (concerts, theaters, sport events). Most
applications are recent and made possible by the advances in technology, data and decision analytics. However, there are issues of legality and customer backlash for charging different prices for virtually the same product. The course will touch upon these issues as well. Topics covered include capacity allocation,
network management, overbooking, markdown pricing, and customized pricing.
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MGSC 672. Operations and Supply Chain Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
The course covers analytical models that explore the key issues associated with the design and management of supply chains. A considerable portion of the course is devoted to data-driven decision models that treat uncertainty explicitly. Topics include supply network design, inventory centralization, value of information, and
contracts.
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **During the last week, there will be a make-up class on Thursday, May 28th.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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MGSC 673. Introduction to Artificial Intelligence and Deep Learning.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Introduction to deep learning, through its use of neura networks, to learn from data and tasks such as classification, forecasting, data generation. The basis of
deep learning up to the applications of the most recent research. Use of deep learning in a production environment, and leveraging techniques such as: Keras, hyperparameter tuning, image classification methods, back propagation, LSTMs, and Autoencoders.
- Prerequisite(s): (INSY 660 AND INSY 662) OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MGSC 695. Advanced Topics in Management Science 1
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
Current emerging topics in operations management. Course content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **Web ADD only.
- **No web drop allowed.
- **Web withdrawal not applicable.
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MRKT 671. Advanced Marketing Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
Terms Offered: Summer 2025
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Summer 2025 in Visual Schedule Builder.
Description
The course will introduce students to advanced marketing analytic techniques available to managers and give them hands-on experience on using these with actual datasets. The major learning vehicle will be lectures with step-by-step exposition of analytical techniques with actual data. These will be then complemented with cases involving data analysis. Topics covered include customer and product analytics techniques.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MRKT 672. Internet Marketing Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
What makes internet marketing different? Introduction to internet marketing - search engine optimization. Inbound marketing - search advertising and privacy concerns. Online tracking and privacy issues.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MRKT 673. Pricing Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Introduction and basics of price-response functions and pricing optimization. Using data to estimate demand models. Value-based pricing, consumer valuations,
personalization. Tactics of price differentiation. Pricing with constrained supply. Team project consultation.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MRKT 674. Retail Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
This course will cover the following topics: loyalty program data analysis, assortment planning and category management, market basket analysis, Store location and trade area analysis, and forecasting and buying decision.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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MRKT 696. Advanced Topics in Marketing Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Current emerging topics in marketing analytics. Course content will vary each term.
- Prerequisite(s): (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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ORGB 671. Talent Analytics.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Learning objectives: to gain experience in collecting and integrating performance and personnel outcome data; to develop and practice skills needed to analyze these types data; to cultivate knowledge and an understanding of the potential and limitations of talent analytics; to become able to apply the skills and knowledge from class to future organizational settings.
- Prerequisite: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
- **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Course Add is the second lecture day.
- **During the last week, there will be a make-up class on Thursday, May 28th.
- **Web ADD only.
- **No Web Drop.
- *Web withdrawal not applicable.
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ORGB 672. Organizational Network Analysis.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Learning objectives: to gain experience in collecting and representing organizational network data; to develop and practice the skills needed to analyze network data; to cultivate knowledge and understanding of how social networks are related to consequential organizational outcomes; to become able to apply the skills and knowledge from class to future organizational settings.
- Prerequisite: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
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ORGB 695. Advanced Topics in Organizational Behaviour.
Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.
Credits: 1.5
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
Current emerging topics in organizational behaviour. Course content will vary each term.
- Prerequisites: (INSY 660 OR INSY 662 OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)
Most students use Visual Schedule Builder (VSB) to organize their schedules. VSB helps you plan class schedules, travel time, and more.
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